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Jen Looper 4 years ago committed by GitHub
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4-Classification/1-Introduction/README.md
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@ -184,7 +184,7 @@ Now you can dig deeper into the data and learn what are the typical ingredients
![japanese](images/japanese.png) ![japanese](images/japanese.png)
1. Now for the chinese ingrediences: 1. Now for the chinese ingredients:
```python ```python
chinese_ingredient_df = create_ingredient_df(chinese_df) chinese_ingredient_df = create_ingredient_df(chinese_df)
@ -193,7 +193,7 @@ Now you can dig deeper into the data and learn what are the typical ingredients
![chinese](images/chinese.png) ![chinese](images/chinese.png)
1. Plot the indian ingrediences: 1. Plot the indian ingredients:
```python ```python
indian_ingredient_df = create_ingredient_df(indian_df) indian_ingredient_df = create_ingredient_df(indian_df)
@ -202,7 +202,7 @@ Now you can dig deeper into the data and learn what are the typical ingredients
![indian](images/indian.png) ![indian](images/indian.png)
1. Finally, plot the korean ingrediences: 1. Finally, plot the korean ingredients:
```python ```python
korean_ingredient_df = create_ingredient_df(korean_df) korean_ingredient_df = create_ingredient_df(korean_df)

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